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TDWI Upside - Where Data Means Business

Leading-Edge Analytics


Executive Q&A: How Generative AI Is Changing How We Think About Analytics

Structured enterprise data may just be generative AI’s next breakthrough area. We asked Nima Negahban, cofounder and CEO of Kinetica, to explain how the technology is being used in a variety of industries.

How to Succeed with Unifying DataOps and MLOps Pipelines

James Kobielus, TDWI’s senior research director for data management, discusses the opportunities and challenges associated with enterprise unification of DataOps and MLOps pipelines.

Five Pillars for an Effective FinOps Program

For many enterprises, managing cloud spending is their top cloud challenge. How can you optimize the existing use of the cloud in your enterprise while reducing costs? FinOps may be the answer.

Achieving Success with Modern Analytics (Part 2 of 2)

Teresa Letlow, SVP Global Cloud Alliances at StreamSets, and Jason Yeung, VP NA Center of Excellence, BTP at SAP, share their thoughts and insights about achieving success with modern analytics.

Achieving Success with Modern Analytics (Part 1 of 2)

Fern Halper, TDWI’s vice president and senior director of research for advanced analytics, discusses her recent TDWI Best Practices Report on achieving success with modern analytics -- including exciting use cases and common challenges organizations need to overcome.

Strategies for Successful Cloud Migration: Lessons from TDWI’s David Stodder

David Stodder, TDWI’s senior director of research for business intelligence, discusses trends and topics in cloud migration and management.

Data Digest: Applications for AI and Analytics Across Industries

New insights about AI and analytics use for healthcare, politics, and business in general.

Clearing Up Cloud Confusion for Data Warehousing (Part 2 of 2)

Before moving your data warehouse or lake to the cloud, it’s vital to have clear skies and a good view of the horizon.

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